Triple
T16204709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sela Ward |
E393294
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Austin Sherman |
E393294
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Austin Sherman | Statement: [Sela Ward, hasChild, Austin Sherman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austin Sherman Context triple: [Sela Ward, hasChild, Austin Sherman]
-
A.
Austin Sherman
chosen
Austin Sherman is known as one of the children of American actress Sela Ward.
-
B.
Christian Shank
Christian Shank was an early settler and landowner after whom the town of Shanksville, Pennsylvania, was named.
-
C.
Sherman Douglas
Sherman Douglas is a former American point guard best known for his standout college career at Syracuse University and subsequent decade-long tenure in the NBA.
-
D.
Anthony McHenry
Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
-
E.
Tony Puryear
Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f4f8708190ba1a08860e962c66 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.